Discover gists
| // ==UserScript== | |
| // @name Wordle Hardcore Mode | |
| // @description Adds a more restrictive “Hard Mode” to New York Times Games' Wordle to warn the player about impossible guesses | |
| // @version 2026-07-01 | |
| // @author Nouche | |
| // @match https://www.nytimes.com/games/*wordle* | |
| // @run-at document-start | |
| // @tag games | |
| // ==/UserScript== |
| // ==UserScript== | |
| // @name Spelling Bee State Sharing | |
| // @description Adds a keyboard shortcut (Ctrl-B) while playing New York Times Games' Spelling Bee to share (copy) a breakdown of the player's current game state, comparing it against the maximum values as given by that day's answers (also holding down Alt causes the output to be displayed as a browser alert instead); another shortcut (Ctrl-Q) can be used for quick sharing (#words, score rank) | |
| // @version 2026-07-08 | |
| // @author Nouche | |
| // @match https://www.nytimes.com/*/spelling-bee* | |
| // @run-at document-start | |
| // @grant none | |
| // @noframes | |
| // @tag games |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| // Excerpt | |
| { "keys": ["tab"], "command": "sane_reindent", "context": | |
| [ | |
| { "key": "setting.auto_indent", "operator": "equal", "operand": true }, | |
| { "key": "selection_empty", "operator": "equal", "operand": true, "match_all": true }, | |
| { "key": "preceding_text", "operator": "regex_match", "operand": "^$", "match_all": true }, | |
| { "key": "following_text", "operator": "regex_match", "operand": "^$", "match_all": true } | |
| ] | |
| } |